Real Estate Data Miner Needed – Extract & Clean Property Ownership Data (Pompano Beach, FL)

@utrathore3

With our extensive experience in data mining, web scraping, and a strong command over using Excel/Google Sheets, we are well equipped to handle your project proficiently and professionally. Not only We understand the complexity of the task at hand but also recognizes the importance of accuracy. Our mastery in data mining and extraction from public records ensures you will receive reliable and clean data that meets your specific criteria. As an additional advantage, our prowess in automation and use of VBA Macros can significantly expedite the process of organizing the extracted data efficiently by streets as requested. Moreover, we committed to delivering not just a mere dataset, but a structured solution aligned with your needs. Our focus on quality control includes spot-checking entries to ensure it mirrors the county appraiser’s site for maximum precision. Explore my impressive profile here: https://www.freelancer.pk/u/utrathore3 . Note: "Delivering success is our commitment. To achieve this, we carefully assess your project's scope, and then provide customized costs and timelines that meet your unique needs." Thanks and Best Regards, Usman Tariq Rathore Work-Nix Solutions

@Tanmoy236

Hi There! I specialize in data mining and public records research with 9+ years of experience delivering accurate, verified property datasets in Excel. I can follow your ownership, deed-date, and mailing-address filters with careful validation for reliable results. Here's how I can help: 1. Extract and verify qualifying single-family properties. 2. Apply all ownership, date, and mailing filters accurately. 3. Deliver clean, street-organized Excel sheets for both datasets. Approximately how many qualifying properties do you expect across both lists?

@asifdwan

Hi, I have extensive experience with public records research, property data mining, web scraping, and Excel database creation. I can compile both datasets by extracting records from BCPA and other reliable public sources, verifying ownership dates, filtering ownership types, and organizing the results exactly as requested. For the first dataset, I will include only qualifying single-family homes in the specified NE, SE, and SW Pompano Beach ZIP codes, verify ownership before January 1, 2022, exclude corporate entities and rental properties where required, and organize the spreadsheet by street with the owner's name, property address, ownership type, deed date, neighborhood, and notes. For the second dataset, I will identify qualifying single-family properties with non-Florida mailing addresses, verify ownership dates, and provide the owner name, property address, and mailing address in a separate spreadsheet. Before providing a fixed price, I have two questions: 1. Approximately how many qualifying properties do you expect for each dataset? 2. Should trust-owned properties with an out-of-state mailing address be included only in the second dataset, even if they are excluded from the first? Once these details are confirmed, I can provide a firm fixed-price quote with no additional fees and begin immediately after the milestone is created.

@ShaikhAneesa

Hi there, I have thoroughly reviewed your project requirements for extracting and cleaning property ownership data in Pompano Beach, FL. I understand the need to compile a targeted list of single-family houses purchased before Jan 1, 2022, excluding certain ownership types and mailing addresses. Let's chat and discuss it further. To handle your project, I will start with extracting single-family homes in NE, SE, and SW Pompano Beach using ZIP codes provided. I will filter ownership types, verify ownership dates, and deliver a clean, structured dataset in Excel format. My approach involves utilizing public records, tax rolls, and Broward County Property Appraisers office for accurate data extraction. Deliverables include a complete dataset of qualifying properties, organized spreadsheet by streets, and a separate list of properties with out-of-state mailing addresses. Before signing-off my bid, I would like to ask a question, i.e., what is the preferred frequency for updates on the dataset? Warm Regards, Aneesa.

@kelvinm094

Hello, I’ve reviewed your Pompano Beach data-mining project and I’m confident I can deliver an accurate, auditable Excel dataset that matches your exact criteria. With extensive experience in data mining, web scraping, and Excel-enabled reporting, I will pull single-family homes in NE/SE/SW Pompano Beach using the specified ZIPs, filter out LLC/INC/CORP/LP, ensure ownership since before 2022, and keep mailing addresses identical to property addresses. I’ll verify deeds and organize results by street, with fields: owner name, property address, mailing address, ownership type, deed date, neighborhood, notes. I’ll also deliver a second list for non-Florida mailing addresses. Deliverables will be delivered as a clean Excel workbook, ready for review, within 1-3 days depending on data availability. I’m ready to start immediately and can adjust scope as needed. Best regards, Team

@gauravgargcs

Hello, I'll research and verify each property using Broward County Property Appraiser (BCPA), public tax records, and other reliable public sources, organize the results by street, and deliver a clean Excel spreadsheet with the owner's name, property address, and mailing address, prioritizing accuracy over volume. I have 10+ years of experience in real estate data research, lead generation, and public records analysis. Let's chat—I’d be happy to discuss the remaining ZIP codes, estimated turnaround, and your agent exclusion list before getting started. thank you Regards Gaurav Garg

@emilesd617

Hi, I am a **data mining developer** with 8 years of rich experience in software development, with a background in data extraction and automation. I am familiar with **Excel, Web Scraping, Data Mining, Python, data processing, and public records extraction**. I understand that accuracy is the priority for this project. I can extract and verify the required property records, filter ownership types and deed dates according to your criteria, organize the results by street in a clean Excel spreadsheet, and prepare the second dataset for non-Florida mailing addresses with the same verification process. I'm an individual freelancer and can work in any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@giaphung2k1

Hello It sounds like you’re struggling to filter through high-volume property data to find actionable single-family leads. I have spent the last two years building custom datasets for real estate investors using precision filtering to ensure every lead meets specific ROI criteria. I can quickly compile a clean, verified list of properties that match your exact target parameters, saving you hours of manual research. Are you available for a quick chat to discuss your specific filters? Giáp Văn Hưng

@ImranAli01

Hello, I understand the project requirements for extracting and cleaning property ownership data in Pompano Beach, FL. My plan is to first extract single-family homes in the specified areas and filter out ownership types as per your instructions. I will then verify ownership dates and deliver a clean, structured dataset in Excel format, organized by streets. For this task, I will utilize web scraping tools and public records sources to ensure accurate and verified data compilation. As final deliverables, you will receive a complete dataset of qualifying properties with owner names, property addresses, mailing addresses, ownership types, deed dates, neighborhoods, and any relevant notes in a well-organized spreadsheet. One thing I'd like to confirm before we start: Are there any specific criteria for identifying absentee owners or trust types? I look forward to discussing this project further with you. Please feel free to reach out for a quick chat to clarify any details. Regards, Imran

@Dataentrychanp

Respected Sir, I am Puja Rani. I have read your proposal completely. I have experience I am ready to start working. I am confident that I can handle it easily. If you are interested, please message me and we can discuss further

@divibj

Hi there, I read through your project details carefully, and I am confident I can deliver the exact, clean, and verified dataset you are looking for. With strong expertise in public records extraction, web scraping, and property data research using sources like the Broward County Property Appraisers office, I understand the critical importance of accuracy over sheer volume—especially when it comes to filtering out corporate entities, LLCs, rentals with mismatched mailing addresses, and verifying deed dates. My Approach to Your Project: Precise Filtering: I will strictly extract single-family homes in the specified NE (33062, 33064), SE (33060), and SW (33069) Pompano Beach sections, ensuring all LLCs, corporate entities, and absentee landlords (mismatched mailing addresses) are filtered out, while retaining individuals, trusts, and estates. Deed & Date Verification: I will cross-reference deed history to accurately capture properties held since before January 1, 2022 (and pre-Jan 1, 2021 for the non-FL mailing address list). Clean Structured Delivery: I will organize the final data neatly in an Excel spreadsheet broken down by streets (e.g., NE 1st St, NE 2nd St) with all required data points: owner name, property address, verified mailing address, ownership type, deed date, neighborhood, and relevant notes. I can deliver this accurately within your required timeframe. Let's get started!

@Azursol

Greetings, I see that you're looking to gather a targeted list of single-family homes in Pompano Beach while following specific criteria for ownership and mailing addresses. This requires careful data extraction and organization to ensure accuracy and clarity. To tackle this, I would: 1. Utilize reliable sources such as public records and tax rolls to extract data on single-family homes in the specified areas. 2. Filter ownership types meticulously, ensuring we only include individual owners, trusts, and estates, as you requested. 3. Cross-check ownership dates to confirm compliance with your timeline and organize the results in a clear Excel spreadsheet by street. With my experience in data mining and public records extraction, I’ll ensure the dataset is not only accurate but also structured for easy analysis. I’m excited about the opportunity to work together on this ongoing project.

@rezamahi

Hello, I’m an experienced Real Estate Data Research, Web Scraping, Public Records Extraction, and Property Ownership Verification specialist. I have completed similar projects involving county property records, tax rolls, deed history, and large-scale property datasets. I have carefully reviewed both parts of your project. For the first list, I can research single-family homes in the specified NE, SE, and SW Pompano Beach ZIP codes, include Individuals, Trusts, and Estates, exclude corporate entities and properties with different mailing addresses, and verify ownership before Jan 1, 2022. For the second list, I can identify single-family properties in the same areas with mailing addresses outside Florida, including all ownership types, while verifying the required ownership dates. I can research BCPA and other reliable public records and deliver accurate, clean Excel data organized by street, including owner name, property and mailing addresses, ownership type, deed date, neighborhood, and notes. I’m ready to start immediately and can accept the milestone as soon as we agree on the scope and fixed price. Before I quote the total price, please confirm the approximate number of records expected. Best regards, Reza

@XRProConnect

Hi, Aashiq here from Cape Town, South Africa. This project instantly caught my eye, so I had to reach out. I see you are looking for a targeted list of single-family homes in specific sections of Pompano Beach, excluding corporate owners and properties with different mailing addresses. I totally understand the importance of accuracy and completeness for your project. In my previous roles, I've helped businesses extract and organize property data, ensuring they receive clean and actionable insights. I’m confident I can deliver the precise data you need. Feel free to ask for samples of similar projects I’ve completed. Based on what you mentioned, here is how we would approach the project: - Extract data from public records and reliable sources. - Filter ownership types according to your criteria. - Organize results in a clean Excel spreadsheet, categorized by streets. You can count on clear communication throughout the process, and I’ll ensure a seamless, user-focused solution optimized for accuracy. Best Regards, Aashiq

@jaweriashakoor55

I have reviewed the complete description of your job post and I'm confident I will meet your expectations and give you 100% satisfaction and quality work. I'm all set and available to start working on it right away. can begin work immediately and aim to have it completed within one day. I am pretty sure that I can provide you high quality work within short amount of time. Thank you, and I look forward to the opportunity. Best regards Jaweria

@carlosd178

Hello, After reviewing your project requirements, I understand you need a highly accurate property research dataset for Pompano Beach single-family homes using public records, with strict ownership, mailing address, and deed date filtering. I have experience with **data mining, public records research, Excel, web research, data extraction, data validation, and spreadsheet organization**. For property research projects like this, the key focus is not only collecting records but carefully filtering ownership types, verifying deed history, matching property/mailing addresses, and delivering a clean dataset that can pass spot checks against official records. I can help compile the NE, SE, and SW Pompano Beach lists using BCPA and other reliable public sources, including individual/trust/estate ownership, deed verification, street-based organization, and the separate out-of-state mailing address dataset according to your criteria. I have a couple of quick questions: • Approximately how many records do you expect in the final dataset, or should I determine the full volume from BCPA? • For the agent exclusion list, will you provide the names before the final filtering stage? I would be glad to handle this as an ongoing research project and deliver accurate, well-organized Excel files with clear verification notes. Best regards, Carlos.

@codefusion53

Hi I understand you are looking for a hands-on real estate data mining and cleaning workflow to extract property ownership data for Pompano Beach, FL, then standardize it into a usable dataset instead of raw, error-prone scrapings. I work with web scraping and data automation to turn messy sources into consistent tables. My approach is to focus on reliability: define the exact fields you need, handle duplicates/format issues during extraction, and produce a clean output you can filter and merge with confidence. For this project, I would start by mapping the target data source(s) and the specific ownership fields required, then design the scraping/collection process to capture consistent records. Next, I would run a cleaning pass to normalize names, addresses, parcel identifiers, and date/ownership status values, followed by validation checks to confirm coverage and integrity. The outcome is a cleaned Excel-ready dataset (and a reproducible process steps) aligned to your requirements. If helpful, I can include simple documentation describing the extraction assumptions, cleaning rules applied, and how to rerun updates without rework. Best, Justin

@Yevhen1987

Hi. I can develop a Python script to extract and clean property ownership data for single-family homes in Pompano Beach from sources like BCPA.net. I will implement the specific filtering criteria for purchase dates (before Jan 1, 2022), ownership types (excluding corporate entities/LLCs, including trusts), and matching mailing/property addresses. The script will output a structured Excel spreadsheet, organized by streets, including owner name, full property address, mailing address, ownership type, deed date, and neighborhood, as requested. For the first part of the task, I can deliver this for $220-$250 within 3-4 days. Could you please provide the full details for the "SECONDLY" requirement, as the description cuts off there? This will help me give a precise quote for the complete project.

@goranm16

Hello, BCPA is familiar ground for me. I would pull the full parcel set for 33062, 33064, 33060 and 33069, keep only single family use codes, drop condos and multifamily, then screen owner names for LLC, INC, CORP, LP, LLP, Holdings, Investments and Management while keeping Trusts and Estates. For the first list I match the mailing address to the property address and verify the deed date on every record before it goes in. The sheet is grouped by street within each section, with owner, full property address, mailing address, ownership type, deed date, section and notes. Four questions first: The second list says owned before Jan 1 2021, but also excludes purchases after Jan 1 2022. Which cutoff do you want? Most recent deed, or original acquisition date? Quitclaims between spouses and transfers into trusts reset the latest deed. Filter strictly by ZIP, or by NE/SE/SW street prefix where a ZIP crosses sections? Exclude half duplexes and villas along with condos? $240 total for both lists, nothing before it and nothing after. Five working days from your answers, and I accept the milestone the moment you create it. I am on CET, so I overlap your morning. Best regards, Goran